Read the report on "reports/Seazone Challenge Report.pdf"
Make sure that all raw data files are in a folder in the following path of this project: "data/raw"
Data files considered in this case should have the following names:
- Details_Data.csv
- Hosts_ids_Itapema.csv
- Mesh_Ids_Data_Itapema.csv
- Price_AV_Itapema-001.csv
- VivaReal_Itapema.csv
Steps to install and execute this project:
- git clone this repository
- navigate to the root of this repository
- run "pip install -r requirements.txt"
- make sure that all data is in the correct folder
- run "python -m src.solve_case"
- figures will be in "reports/figures"
- the final PDF report is in "reports"
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── notebooks <- Jupyter notebooks.
│
├── references <- Explanatory materials.
│
├── reports <- Final report.
│ └── figures <- Figures used to analyze and create the report.
│
├── requirements.txt <- The requirements file for reproducing the analysis environment.
│
├── src <- Source code for use in this project.
│ ├── __init__.py <- Makes src a Python module
│ │
│ ├── data <- All scripts
│ │
│ │
│ │
│ └── visualization <- Empty
│
│
└──
Project based on the cookiecutter data science project template. #cookiecutterdatascience